AI45Lab/TrinityGuard

Python221 stars24 forks

What it does

TrinityGuard is a safety framework designed for multi-agent systems, providing pre-deployment testing and runtime monitoring to identify and mitigate various security risks. It addresses 20 types of risks across three levels, ensuring safer deployment of AI agents.

Star history

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Tracking

Last trending: 2026-02-21

Creator kit

Hook

Ensure the safety of your AI agents with TrinityGuard's comprehensive risk assessment framework!

Content angles

Create a tutorial on setting up and using TrinityGuard for testing multi-agent systems.
Discuss the importance of security in AI and how TrinityGuard addresses specific risks.
Share a case study demonstrating the effectiveness of TrinityGuard in a real-world application.

Who should care

AI developers and researchers focused on building secure multi-agent systems.